five

A Novel Nomogram to Predict the Postoperative Overall Survival in Gastrointestinal Cancer Patients

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NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://www.omicsdi.org/dataset/ecrin-mdr-crc/211
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This multicenter retrospectively observational cohort study was conducted on participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery in 11 medical centers in China from August 1, 2015, to June 31, 2018. Baseline clinicopathologic data and nutritional status assessments including Nutrition Risk Screening 2002 (NRS 2002) score and Patient-generated Subjective Global Assessment (PG-SGA) rating were collected. Variables will be screened using the least absolute shrinkage and selection operator (LASSO) regression model and Cox regression analysis. Internal and external validations will be performed via the receiver operating curve (ROC), the area under the curve (AUC), the concordance index (C-index), calibration plots, decision curve analysis (DCA), and Five folds cross-validation by 200 times.
创建时间:
2022-11-15
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